Problems Facing Agricultural Product Exporters and Solutions : A Case Study from Afghanistan

Agri-food trade has a profound impact on social stability and sustainable economic development. However, there are several technological problems in current agricultural product transactions. For example, it is almost impossible to improve the efficiency of transactions and maintain market stability. This paper designs a novel Food Trading System with COnsortium blockchaiN (FTSCON) to eliminate information asymmetry in the food trade, in order to establish a sustainable and credible trading environment, the system uses consortium blockchain technology to meet the challenge of different authentications and permissions for different roles in food trade. Meanwhile, we have used the online double auction mechanism to eliminate competition. We also have designed a improved Practical Byzantine Fault Tolerance (iPBFT) algorithm to improve efficiency. In addition, a case study based on a series of data from Shandong Province, China indicate that the FTSCON can achieve profit improvement of merchants. Therefore, the proposed system proved to have high commercial value.

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Food and Agricultural Product Pilot Selection for Geographical Indication Projects

New Medit ◽

10.30682/nm2003g ◽

2020 ◽

Vol 19 (3) ◽

Author(s):

SERTAÇ Dokuzlu ◽

Jean-Claude PONS ◽

Emilie VANDECANDELAERE ◽

Maud ROGGIA ◽

Maria RICCI ◽

...

Keyword(s):

Lessons Learned ◽

Agricultural Product ◽

Control Group ◽

Geographical Indication ◽

Analytic Hierarchy ◽

Product Selection ◽

Standard Data ◽

Concrete Experience ◽

Hierarchy Process

This study assesses methodologies used during the selection of pilot products for the support to development of sustainable geographical indication projects by using the FAO/EBRD project as a case study. Relevant pilot products are essential to provide stakeholders with concrete experience, demonstrative effects and lessons learned in order to disseminate bets practices and facilitate scaling-out of sustainable GI processes. Qualitative data were transformed to quantitative data for product selection because data for local products were insufficient, and standard data were unavailable for each product. Analytic hierarchy process (AHP), simple scoring and geographical indication assessment form were used together as product selection methods. Gemlik Olives, the first registered geographical indication product in the Bursa province, was included during assessment as a control group. Six local products with a potential for GI registration were considered for pilot product selection to serve as demonstrative process. Results suggest that the most important selection criteria were “reputation of the product” and “power of the organisation” and first two ranked products selected for the project were Bursa Black Figs and Bursa Peaches.

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Vineyard zonation based on natural terroir factors using multivariate statistics – Case study Burgenland (Austria)

OENO One ◽

10.20870/oeno-one.2018.52.2.1907 ◽

2018 ◽

Vol 52 (2) ◽

pp. 105-117 ◽

Cited By ~ 1

Author(s):

Lukas Karlik ◽

Gábor Marián ◽

Vladimír Falťan ◽

Marek Havlíček

Keyword(s):

Factor Score ◽

Internal Validity ◽

Agricultural Product ◽

The European Union ◽

Management Zones ◽

Product Categories ◽

Validity Indices ◽

Market Strategies ◽

The Eu

Aim: The aim of the study was to explicitly develop a methodology of delineation of natural Protected Designation of Origins (PDO) terroir regions for Austria, where PDO viticulture regions reflect natural conditions only in a formal manner.Methods and results: There is increasing competition in the wine market from globalized trends, where the European Union (EU) and non-EU wine producers have adopted different market strategies to promote their wines and gain larger market share. The EU has therefore established protective agricultural product categories such as PDO and Protected Geographical Indication (PGI) based on the terroir concept which contrasts with USA strategies. Here, we first collected and derived as many as possible relevant physical geographical data for a total of 66,673 officially registered vineyard areas in Burgenland (Austria). Next, we applied factor analysis to these data with the aim to shrink their size and reduce their dimensionality. For each vineyard plot was derived a factor score which was used for performing k-means clustering. The best count of clusters, k-parameter, was estimated using five internal validity indices. Five homogenous management zones were created as a result of clustering. Correctness and accuracy of the clustering was evaluated by multidimensional discriminant analysis. The final zones were compared to current Districtus Austriae Controllatus (DAC) of Burgenland.Conclusion: It was found by the comparison of DAC regions of Burgenland and our drafted zones that some of the DAC regions do not respect natural terroir zones, while these regions were created as PDO regions which should respect their natural terroir.Significance and impact of the study: The presented methodology can be applied all over Austria and, with some modifications caused by different input data, to each EU member country where it is necessary to revise PDO regions’ borders.

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Supply Chain Finance for Targeted Poverty Alleviation: A Case Study of Suning

Frontiers in Artificial Intelligence and Applications - Modern Management based on Big Data I ◽

10.3233/faia200647 ◽

2020 ◽

Author(s):

Shanliang Li ◽

Shan Yan ◽

Liwen Liu

Keyword(s):

Big Data ◽

Supply Chain ◽

Traffic Control ◽

Poverty Alleviation ◽

Economic Benefits ◽

Agricultural Product ◽

Financial Measures ◽

Supply Chain Finance ◽

Agricultural Supply

The sudden emergence of ‘COVID-19’ in 2020 has tightened traffic control in various places, which has posed a huge challenge to the agricultural product supply chain. This research introduces the perspective of supply chain finance, uses in-depth case study methods, and takes Suning’s agricultural supply chain finance as an example to discuss how e-commerce companies relying on big data adopt agricultural supply chain finance practices to promote accurate poverty alleviation. By analyzing Suning’s four agricultural supply chain financial operation models, we find that the internal and external stakeholders of the enterprise are the driving factors for enterprises to adopt agricultural supply chain finance, and the adoption of agricultural supply chain finance measures has brought economic benefits and social benefits to enterprises benefit. Advanced big data tools, fintech and cooperation with other partners are necessary to adopt agricultural supply chain financial measures.

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Optimization of irrigation cropping pattern by using linear programming: Case study on irrigation area of Parsanga, Madura Island, Indonesia

Journal of Water and Land Development ◽

10.2478/jwld-2018-0058 ◽

2018 ◽

Vol 39 (1) ◽

pp. 51-60 ◽

Cited By ~ 1

Author(s):

Pitojo T. Juwono ◽

Lily Montarcih Limantara ◽

Fathor Rosiadi

Keyword(s):

Linear Programming ◽

Water Discharge ◽

Agricultural Product ◽

Cropping Pattern ◽

Optimization Analysis ◽

Cropping Patterns ◽

Irrigation Area ◽

Maximum Benefit ◽

Production Benefit

AbstractThe irrigation area of Parsanga is located in Sumenep Regency, Madura Island of Indonesia. This irrigation area is 500 ha and the existing cropping pattern is paddy–paddy–second crop. There is water discharge deficiency due to the existing cropping pattern mainly in the dry season. Thus, this study intends to optimize the cropping pattern for 3 condition so that it can produce the maximum benefit of agricultural product. The first cropping pattern is paddy/second crop–second crop–paddy/second crop; the second proposition is paddy/second crop –paddy/second crop–second crop; and the third proposition is paddy–second crop–paddy/second crop. The optimization analysis is carried out by using the linear programming. The suggested three cropping patterns are not only able to solve the water deficiency; they can also present the more production benefit than the existing condition.

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Analisis Pendapatan Industri Tahu di Kota Wamena

Jurnal Ekonomi Pertanian dan Agribisnis ◽

10.21776/ub.jepa.2021.005.04.26 ◽

2021 ◽

Vol 5 (4) ◽

pp. 1250-1261

Author(s):

Rein Rumbiak ◽

◽

Lulus Sedavit ◽

Sumiyati Tuhuteru

Keyword(s):

National Development ◽

Secondary Data ◽

Industrial Sector ◽

Primary Data ◽

Agricultural Product ◽

Selling Price ◽

Long Time ◽

Business Income ◽

The Cost

Agricultural cannot development without the support of the economic sector, especially industry, in this case the development of the agricultural product processing industry (agro-industry) is one of the priorities in national development in industrial sector. Tofu processing business income is very dependent on the selling price of the product and the costs incurred to produce tofu, the higher the product selling price and the lower the cost, the higher the business income. This study aims to determine the level of profit obtained by each industry that has been operating for a long time. The research was conducted in July - September 2018, on the tofu industry in Wamena City. The method used is a case study method with the type of data collected including primary data and secondary data. The data analysis method uses Cost Analysis, Revenue Analysis, and Income Analysis. The results showed that the tofu "Tahu Tempe Jaya" industry was not profitable, compared to the tofu "Tahu Ayu Rezeki" industry which was profitable.

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ANALYSIS OF FARMER BEHAVIOR IN SELECTING FERTILIZER FOR IMPROVING AGRICULTURAL PRODUCTIVITY (Case study in Sukoharjo Regency)

AGRISAINTIFIKA: Jurnal Ilmu-Ilmu Pertanian ◽

10.32585/ags.v4i1.839 ◽

2020 ◽

Vol 4 (1) ◽

pp. 73

Author(s):

Tria Rosana Dewi ◽

Irma Wardani ◽

Sudarwati Sudarwati

Keyword(s):

Significant Influence ◽

Agricultural Productivity ◽

Agricultural Products ◽

Survey Method ◽

Agricultural Product ◽

Farmer Behavior ◽

Increase Productivity ◽

The Right ◽

Selection Of

Efforts to increase the productivity of agricultural products are influenced by many factors, there are several factors that are highly dependent on the efforts made by humans, such as, the preparation of land, fertilizer selection, the application of proper farming procedures, the right way of harvesting and good post-harvest processing.The research to be conducted aims to determine the effect of quality, packaging and fertilizer prices on fertilizer selection to improve the productivity of agricultural products. The research used survey method, which is analyzing farmer behavior in choosing fertilizer. Technique of collecting data through questioner given to respondent. Sampling is done by random sampling. Samples in this study were 100 farmers from 12 sub-districts in Sukoharjo District. Data analysis techniques used to test the hypothesis is multiple regression analysis, t test, F test and determinant coefficient with SPSS program.The result of this research is that there is a significant influence between quality variable (X1), packaging (X2), and price (X3) together on fertilizer selection to increase productivity of agricultural product. While partially there is no significant effect between the quality (X1) on the selection of fertilizers to improve the productivity of agricultural products. But there is a significant influence between packaging (X2) and price (X3) on fertilizer selection to increase agricultural productivity. The contribution of the three variables, namely quality, packaging and fertilizer price to the selection of fertilizer to increase the productivity of agricultural products by 43.50%. While the rest equal to 56,50% influenced by other variable outside this research. Keywords: Selection of Fertilizer, Productivity.

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Coffee on a Hot Planet

Case Studies in the Environment ◽

10.1525/cse.2021.1367248 ◽

2021 ◽

Vol 5 (1) ◽

Author(s):

Katy Vieira ◽

Amanda McMillan Lequieu

Keyword(s):

Climate Change ◽

Well Being ◽

Agricultural Product ◽

Commodity Chain ◽

Climate Change Risks ◽

The Face ◽

Market Factors ◽

Economic Expectations ◽

The Impact

Researchers are predicting that the spatially uneven distribution of climate change risks will further exacerbate the inequalities of environmental change in the coming decades. This case study of coffee offers a window into the feedback loops of ecological health, agricultural economies, and social well-being on a quickly warming planet. Drawing from a review of research across disciplines, we explore three human-driven factors that have increased the risks of loss for coffee producers in the face of climate change. These three characteristics of the coffee commodity chain—geographical consolidation, genetic variation, and market factors—enmesh social, ecological, and economic expectations of coffee as a high-value agricultural product. Considering the impact of climate change on coffee production sheds light on how climate change interacts with preexisting ecological, social, and economic challenges of global, agricultural production.

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